Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry.

Anker AS, Butler KT, Selvan R, Jensen KMØ

DOI: 10.1039/d3sc05081e
Published: 2023 Dec 13
Container: Chemical science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1039/d3sc05081e,
  title = {Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry.},
  author = {Anker AS and Butler KT and Selvan R and Jensen KMØ},
  year = {2023},
  journal = {Chemical science},
  doi = {10.1039/d3sc05081e},
  url = {https://doi.org/10.1039/d3sc05081e}
}

RIS

TY  - JOUR
TI  - Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry.
AU  - Anker AS
AU  - Butler KT
AU  - Selvan R
AU  - Jensen KMØ
PY  - 2023
JO  - Chemical science
DO  - 10.1039/d3sc05081e
UR  - https://doi.org/10.1039/d3sc05081e
ER  -

APA

AS, A., KT, B., R, S., & KMØ, J. (2023). Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry.. Chemical science. https://doi.org/10.1039/d3sc05081e

Source records

pubmed · retrieved 2026-11-10T18:16:49.912Z